• DocumentCode
    2944904
  • Title

    Towards a smart glove: Arousal recognition based on textile Electrodermal Response

  • Author

    Valenza, Gaetano ; Lanatà, Antonio ; Scilingo, Enzo Pasquale ; Rossi, Danilo De

  • Author_Institution
    Interdept. Res. Centre, Univ. of Pisa, Pisa, Italy
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3598
  • Lastpage
    3601
  • Abstract
    This paper investigates the possibility of using Electrodermal Response, acquired by a sensing fabric glove with embedded textile electrodes, as reliable means for emotion recognition. Here, all the essential steps for an automatic recognition system are described, from the recording of physiological data set to a feature-based multiclass classification. Data were collected from 35 healthy volunteers during arousal elicitation by means of International Affective Picture System (IAPS) pictures. Experimental results show high discrimination after twenty steps of cross validation.
  • Keywords
    bioelectric phenomena; biomedical electrodes; electric sensing devices; emotion recognition; fabrics; intelligent sensors; medical signal processing; signal classification; skin; International Affective Picture System; arousal recognition; embedded textile electrodes; emotion recognition; feature-based multiclass classification; physiological data set; sensing fabric glove; smart glove; textile electrodermal response; Biomedical monitoring; Correlation; Emotion recognition; Feature extraction; Skin; Textiles; Time series analysis; Arousal; Clothing; Diagnosis, Computer-Assisted; Electrodes; Equipment Design; Equipment Failure Analysis; Galvanic Skin Response; Humans; Monitoring, Ambulatory; Textiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627453
  • Filename
    5627453